Results 191 to 200 of about 2,584,993 (291)

DA-BioNER: data augmentation based on few-shot learning and distant supervision for biomedical named entity recognition. [PDF]

Bioinformatics
Park Y, Son G, Kim T, Rho M.
europepmc   +1 more source

Identifying the Service Requirements for Primary Sexual Assault Medical Care and Forensic Evidence Collection in a Remote First Nations Community

Australian Journal of Social Issues, EarlyView.
ABSTRACT First Nations female sexual assault survivors in remote Northern Territory (NT) face significant barriers accessing place‐based medical care and forensic evidence collection, subsequently requiring evacuation to specialist services. Using decolonising Participatory Action Research methods, this study identified the workforce, training, and ...
Theresa Clasquin, Rachel Dikul Baker, Rosemary Gundjarranbuy, Annie Whybourne, Sue Kildea, Sue Kruske, Elaine Ḻäwurrpa Maypilama, Sarah Ireland   +7 more
wiley   +1 more source

Dynamic Operations in Macromolecular Data Storage

Angewandte Chemie, EarlyView.
With the exponential growth of digital data and the limitations of conventional silicon‐based storage and computing technologies, macromolecular data storage, the practice of encoding digital information within large, complex molecules like DNA or synthetic polymers, has emerged as a scalable and sustainable alternative to traditional digital ...
Jakub Ossowski, Oskar Affenberger, Jean‐François Lutz, Maria Nerantzaki   +3 more
wiley   +2 more sources

Benchmarking GPT-5, LLaMA, and Mistral for Clinical Named Entity Recognition in Ophthalmology Progress Notes. [PDF]

Transl Vis Sci Technol
Majid I, Ruan FY, Wang SY.
europepmc   +1 more source

Shadow Infrastructures of Labour: A Case Study of Generative AI Use in Victorian Child Protection Practice

Australian Journal of Social Issues, EarlyView.
ABSTRACT Generative Artificial Intelligence (GenAI) tools such as ChatGPT are rapidly entering workplaces, yet their use in frontline human services remains largely undocumented and weakly regulated. Drawing on an investigation into a child protection worker's informal use of ChatGPT, this article provides insight into how GenAI is already shaping ...
Joel Robert McGregor, Linus Tan, Caleb Lloyd, Abigail Sheed   +3 more
wiley   +1 more source

Dopant‐Tailored Matrices: A Crystal Engineering Strategy for Organic Room‐Temperature Phosphorescent Host–Guest Systems and Beyond

Angewandte Chemie, EarlyView.
Rather than selecting dopants to match a pre‐existing host matrix, the dopant‐tailored matrix strategy involves rational engineering of host matrices around a preselected class of dopants by targeting matrix packing motifs that promote synergistic host‐dopant interactions upon doping.
Catherine Demangeat, Raphael Rullan, Yipeng Tang, Bin Hu, Anthony D'Aléo, Tangui Le Bahers, Mohammad Esmail Alikhani, André‐Jean Attias   +7 more
wiley   +2 more sources

Resource efficient hybrid baseline for named entity recognition in classical Arabic. [PDF]

Sci Rep
Salah R, Mukred M, Zakaria LQB, Al-Yarimi FAM, Khasro ITN, Sadiq AS.   +5 more
europepmc   +1 more source

Lost and Found: Is Olfactory Recovery More Promising After COVID‐19 Than Other Causes, Even 2 Years Later?

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Background Olfactory dysfunction is a hallmark feature of COVID‐19, yet the potential for recovery with long‐standing COVID‐19‐related smell loss (CRSL) remains uncertain, particularly when treatment is initiated years later. This study evaluated olfactory outcomes in patients with CRSL compared with non‐COVID‐19‐related smell loss (non‐CRSL),
John W. Hunsicker, Mabel Berg, Nicolaus Knight, Jessica W. Grayson, Bradford A. Woodworth, Justin H. Turner, Do‐Yeon Cho   +6 more
wiley   +1 more source

HybridNER: A Multi-Model Ensemble Framework for Robust Named Entity Recognition-From General Domains to Adversarial GNSS Scenarios. [PDF]

Sensors (Basel)
Liu Y, Zhang J, Luan R, Yu X.
europepmc   +1 more source

A multi-level feature enhancement framework for named entity recognition in power system texts. [PDF]

Sci Rep
Wei Z, Gao H, Qu S, Zhao L, Shi Q, Zhang C.   +5 more
europepmc   +1 more source